Direct torque control with a modified switching table for a direct matrix converter based AC motor drive system

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

The direct matrix converter has been regarded as a promising AC/AC conversion topology and it is being researched. Motor drives are one of the main potential applications of the matrix converter. This paper carries forward the application of matrix converters in AC motor drives using direct torque control (DTC). In the common DTC scheme for the matrix converter, two vectors with the maximum amplitudes are used to control the torque and flux. In the proposed approach, the input voltage vector sectors are redefined, therefore a modified and simplified switching look-up table is obtained. In this case the most appropriate vector to be applied is uniquely determined and the number of switch actions are reduced. The excellent dynamic performance is obtained by selecting the maximum vector. Flux and speed are controlled effectively. Simulation work is carried out for an induction motor and results verify the effectiveness of the proposed DTC control in matrix converter based AC drive systems.

Original languageEnglish
Title of host publication2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538632468
DOIs
Publication statusPublished - 2 Oct 2017
Externally publishedYes
Event20th International Conference on Electrical Machines and Systems, ICEMS 2017 - Sydney, Australia
Duration: 11 Aug 201714 Aug 2017

Publication series

Name2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017

Conference

Conference20th International Conference on Electrical Machines and Systems, ICEMS 2017
Country/TerritoryAustralia
CitySydney
Period11/08/1714/08/17

Free Keywords

  • Direct Torque Control (DTC)
  • Matrix Converter
  • Motor Drive System

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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